Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g4/E03882.hea (764 bytes) 
E03882 12 500 5000
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -19 -17996 0 I
E03882.mat 16x1+24 1000.0(0)/mV 16 0 58 -291 0 II
E03882.mat 16x1+24 1000.0(0)/mV 16 0 78 18073 0 III
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -19 -23459 0 aVR
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -48 14812 0 aVL
E03882.mat 16x1+24 1000.0(0)/mV 16 0 68 8887 0 aVF
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -58 -2466 0 V1
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -19 24592 0 V2
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -244 -30288 0 V3
E03882.mat 16x1+24 1000.0(0)/mV 16 0 9 -5187 0 V4
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -48 -6687 0 V5
E03882.mat 16x1+24 1000.0(0)/mV 16 0 -19 17504 0 V6
# Age: 65
# Sex: Male
# Dx: 67741000119109,111975006,164930006,164934002,284470004,284470004
# Rx: Unknown
# Hx: Unknown